医学临床研究表明，癌细胞浸润周围正常组织会使组织的生物力学特性发生显著变化，利用显示组织弹性参数的影像信息对乳腺肿瘤的浸润性生长特征进行定量的表征和评估，对保乳手术的术前预测、放射治疗靶区的界定和肿瘤良、恶性判别等都具有重大应用潜力。本项目提出一种采用超声无创、定量地检测乳腺肿瘤浸润特征参数的新方法。拟融合声辐射力弹性成像技术和图像处理技术，从获取的乳腺组织弹性模量图中提取出浸润区域，然后创建出能够全面、科学地描述病灶浸润情况的弹性参数群。着重解决基于剪切波速度测量的高性能弹性成像算法和基于二维弹性模量图的浸润特征参数群量化提取方法。为了验证本项目提出方法的准确性和有效性，依托自主研制的超声声辐射力弹性成像系统，将算法集成到系统平台，通过临床样本实验、其它影像学手段和病理检测结果进行检验。该项目的研究将为乳腺肿瘤浸润特征的检测和评估提供新的有效途径。

The clinical studies have shown that the cancer cell invasiveness can lead to considerable changes in soft tissue structure, modifying its mechanical properties and substantially resulting in increased stiffness. Thus measurement of elastic characteristics could be used as a new tool of evaluating invasive growth characteristic of breast tumor for breast conserving treatment, radiation target planning and tumor classification.This study proposed a new method that can acquire quantitative invasive information from elastography images automatically and objectively, and apply it to classifying benign and malignant breast tumors. By using an ultrasonic elastography technique based on acoustic radiation force impulse imaging and several image processing methods, the invasive area is detected and thereby a group of elasticity parameters which can fully represent the invasive growth characteristic of breast lesion are caculated.The major researchs of this study include high resolution elastography algorithm based on shear wave velocity mearsurement, the algorithm of abstracting invasive growth features based on 2-dimension elastography image. By using our own acoustic radiation force impulse imaging system, the study is aim to solve those dificulties of quantifying the elastic parameters, and verify the feasibility and effectiveness of this project via clinical trials. This project provides a new effective way for the early diagnisis of breast tumors.